JP5704210B1 - Information processing apparatus, system, and program - Google Patents

Abstract

An object of the present invention is to predict a visit and a visit time of a user who has acquired an issued advertisement. When an advertisement is issued for each of the advertisements related to at least one store by the communication unit 20, issue information is acquired from the advertisement issuing device that issued the advertisement, and the results receiving unit 23 The acquired issue information is stored in the print record storage unit 28 or the portable record storage unit 40, and when the user who acquired the advertisement visits the store for each of the advertisements related to at least one store by the communication unit 20, The advertisement usage information is acquired from the information terminal on the store side, the acquired advertisement usage information is stored in the printing result storage unit 28 or the portable performance storage unit 40 by the result reception unit 23, and issued by the prediction information calculation unit 36. When the information is acquired, the store visit of the user who acquired the advertisement of the acquired issue information is predicted, and the store visit time of the user who acquired the advertisement of the acquired issue information is predicted. [Selection] Figure 8

Description

  The present invention relates to an information processing device, a system, and a program.

  Conventionally, in a human urine collection route search support system that searches a travel route of a human waste collection vehicle and supports collection work, an output device or a display device, a database regarding the load capacity of the collection vehicle, a customer in a collection district, and a processing center The estimated collection amount is calculated from the map database in which the location of the vehicle is registered, the past collection results data, and the data related to the number of days elapsed since the previous collection date. A urine collection route search support system is known that includes a calculation unit that sets a pattern and instructs the output device or the display device to output or display (Patent Document 1).

  An advertisement placement planning apparatus for selecting a street terminal to display the advertisement when delivering an advertisement to street terminals installed at a plurality of installation locations, wherein the absolute positions of the installation locations of the street terminals are There is an advertisement target for each installation location, installation location information storage means for storing information on the relationship and interrelationship of each installation location, empty space information storage means for storing empty information on the advertisement placement frame of the street terminal, and A function probability accumulating means for storing a function estimation probability that estimates how much an action will be performed; an advertisement exposure frequency, a desired exposure location characteristic, and an exposed location number from an input device; The installation location information that can be advertised is acquired from the information storage means, the installation location information corresponding to the number of the exposed locations is selected from the installation location information that can be advertised, and the combination of the installation locations from the selected installation location information Creating and referring to the installation location information storage means, the flow line candidate selection means for determining the moving order of the advertising target between the installation locations of the installation location combination, and the function probability storage means, A function probability acquisition means for acquiring a function probability of each installation location of the combination; a function order of each installation location and a movement order of the advertisement target between the installation locations; The order function combination probability calculating means for calculating a certain function order probability of the advertisement target action at each installation location, the number of times of advertisement exposure acquired from the storage means, the desired exposure location characteristics and each of the installation locations It is characterized by having exposure number assigning means for assigning to street terminals at each installation location according to the conformity with the functional order probability and outputting the result to an output device. That advertising planning apparatus has been known (Patent Document 2).

  Also, a behavior and attribute estimation device that estimates a user's attributes and behaviors from user's movement history and attribute information associated with spots, spot information that stores information associated with attribute (genre) information for each spot Storage means, receiving means for acquiring the user's movement history including positioning time and time-series data of position information from the user's position information collection device, and a stay area for identifying the user's stay area from the user's movement history A means for calculating a score from a ratio of the number of spots existing in the specified stay area and the number of genres corresponding to the spot (the number of spot genres); and comparing the score with a predetermined condition Estimation means for estimating user attributes and behavior, wherein the score calculation means is a moving model and a hypergeometric distribution based scan. A genre appearance rarity calculating means for obtaining a genre appearance rarity value of a stay area by a method using a pot selection model or a probability distribution estimation method reflecting distance attenuation of visitability, and the genre appearance rarity There is known an action and attribute estimation device including means for calculating a ratio between the number of spots existing in the stay area and the number of spot genres as a score using a value (Patent Document 3)

JP 10-049547 A JP2010-257156 JP2012-164227

  An object of the present invention is to provide an information processing device, a system, and a program for predicting a visit of a user who has acquired an issued advertisement and a visit time.

To achieve the above object, a first aspect of the present invention, obtained from the device that issued the advertisements for shops, the advertising ID, time of emitting lines, and information including the position where the user has acquired the advertising Calculated from the first acquisition means, the second acquisition means for acquiring information including the advertisement ID and the visit time presented by the store visitor from the store terminal, and the information acquired by the first and second acquisition means. and use record of the advertisement, based on the position information of the shops, and means for predicting the visit probability and visit time for users who have not visit has acquired advertising relating to the shop, an information processing apparatus including a.

The invention according to claim 2 is characterized in that the second acquisition means further acquires information on the number of visitor users, and the predicting means further predicts the number of store visitors for each time period when the advertisement is issued. An information processing apparatus according to claim 1.

In the invention according to claim 3, the first acquisition unit further acquires type information indicating the type of the advertisement , and the prediction unit further predicts the number of customers visiting the store based on the type of the advertisement . An information processing apparatus according to claim 1 or 2.

The invention according to claim 4 further includes prediction result transmission means for transmitting information including the predicted store visit probability and store visit time to the store terminal. The information processing apparatus according to the item .

According to a fifth aspect of the present invention, there is provided storage means for storing information acquired by the first and second acquisition means, and a user who has acquired the advertisement , calculated based on information stored in the storage means. When the usage record storage means for storing the advertisement use record and the first and second acquisition means newly acquire information, the use record storage means calculates a new use record of the advertisement and stores the use record storage means. 5. The information processing apparatus according to claim 1, further comprising update means for updating the information.

The invention according to claim 6 is the distance from the position where the user acquired the advertisement to the position of the store calculated based on the information acquired by the first and second acquisition means. The information processing apparatus according to claim 1, wherein the store visit time is predicted based on a travel time until the user visits the store.

The invention according to claim 7 issues an advertisement with the information processing apparatus according to any one of claims 1 to 6, and the ID of the advertisement, the time of issue , and An advertisement issuing device that generates information including a position where the user acquired the advertisement and transmits the information to the information processing device, and an advertisement presented by the store visitor when the user who acquired the advertisement visits the store And a store-side terminal that generates information including an ID and a store visit time and transmits the information to the information processing apparatus.

The invention according to claim 8 is the first acquisition means for acquiring information including the ID of the advertisement, the time of issuance, and the position where the user has acquired the advertisement from the device that has issued the advertisement regarding the store. Second acquisition means for acquiring information including the ID of the advertisement presented by the store visit user and the store visit time from the store terminal, and the use result of the advertisement calculated from the information acquired by the first and second acquisition means, And a program for functioning as a means for predicting a store visit probability and a store visit time for a user who has not yet visited a store who has acquired an advertisement related to the store based on the location information of the store .

  According to the first, seventh, and eighth aspects of the invention, the store visit time and the store visit time of the user who acquired the issued advertisement are predicted.

  According to the second aspect of the present invention, the number of store visitors per time zone of the user who has acquired the issued advertisement is further predicted.

  According to the third aspect of the present invention, compared to the case where the present configuration is not provided, the store visit time and the store visit time of the user who acquired the issued advertisement are accurately predicted.

  According to the invention described in claim 4, the store visit of the user who acquired the issued advertisement and the prediction result of the store visit time are output to the store side.

  According to the invention described in claim 5, the store visit rate for each classification is updated.

  According to the sixth aspect of the present invention, the travel time for each distance is updated.

It is a figure which shows the structure of the information processing system which concerns on the 1st Embodiment of this invention. It is a figure which shows the example of issue request information. It is a block diagram which shows the functional structure of the shop terminal which concerns on the 1st Embodiment of this invention. It is a figure which shows the example of store visit prediction information. It is a figure which shows the example of usage information. It is a figure which shows the example of issue information. It is a block diagram which shows the structure of the coupon issue server which concerns on the 1st Embodiment of this invention. It is a block diagram which shows the structure of the store visit prediction server which concerns on the 1st Embodiment of this invention. It is a figure which shows the example of the format in which issue information is stored. It is a figure which shows the example of track record information. It is a figure which shows the example of shop information. It is a figure which shows the example which added the movement distance to issue information. It is a figure which shows the example of the relationship between issue time and a utilization factor. It is a figure which shows the example of the relationship between issue time and an average number of users. It is a figure which shows the example of the relationship between distance and a utilization factor. It is a figure which shows the example of the relationship between distance and an average user number. It is a figure which shows the example of the relationship between a coupon classification and a utilization rate. It is a figure which shows the example of the relationship between a coupon classification and an average user number. It is a figure which shows the example of the relationship between distance and average movement time. It is a figure which shows the example which synthesize | combined prediction information. It is a flowchart figure which shows the store visit prediction process routine in the store visit prediction server which concerns on the 1st Embodiment of this invention. It is a flowchart figure which shows the reference information update process routine in the store visit prediction server which concerns on the 1st Embodiment of this invention. It is a figure which shows the structure of the information processing system which concerns on the 2nd Embodiment of this invention. It is a figure which shows the structure of the information processing system which concerns on the 3rd Embodiment of this invention.

  Hereinafter, an example of an embodiment of the present invention will be described in detail with reference to the drawings.

<Configuration of Information Processing System According to First Embodiment>
First, the information processing system according to the first embodiment of the present invention will be described. FIG. 1 is a diagram showing an example of the overall configuration of the information processing system according to the first embodiment of the present invention. As shown in FIG. 1, the information processing system 100 according to the present embodiment includes an image forming apparatus 10, a mobile terminal 11, a store terminal 12, a store visit prediction server 200, and a coupon issue server 201. Each of them is connected to each other via communication means.

  The image forming apparatus 10 issues a coupon issue request to be printed to the coupon issue server 201 in accordance with an operation by the user. Specifically, the image forming apparatus 10 includes an issuance time (date and time when the issuance request is made), position information where the predetermined image forming apparatus 10 is installed, and a coupon ID of a coupon to be printed in FIG. The issue request information as shown is transmitted to the store visit prediction server 200. Further, the image forming apparatus 10 prints the coupon based on the coupon information received from the coupon issuing server 201. The coupon ID is represented by, for example, ““ shop ”” + “store ID” + “coupon type”. Here, the coupon type represents a type related to the content of the coupon (for example, meal, beauty, etc.). A coupon is an example of an advertisement.

  The portable terminal 11 issues a coupon issue request to the coupon issue server 201 in accordance with an operation by the user. Specifically, the mobile terminal 11 issues the issue request information as shown in FIG. 2 including the issue time (date and time when the issue request is made), the location information of the mobile terminal 11 acquired by GPS or the like, and the ID of the coupon to be issued. Is transmitted to the coupon issue server 201. Further, the mobile terminal 11 displays the coupon on a display unit (not shown) of the mobile terminal 11 based on the coupon information received from the coupon issue server 201.

  The store terminal 12 displays the store visit prediction information received from the store visit prediction server 200. In addition, the store terminal 12 accepts input of coupon information used at the store, and transmits the input coupon information to the store visit prediction server 200. Moreover, the shop terminal 12 is comprised including the input part 15, the calculating part 17, the communication part 16, and the display part 18, as shown in FIG. FIG. 4 shows an example of store visit prediction information.

  The input unit 15 receives input of coupon information when a visitor uses the coupon. The input unit 15 accepts input of usage information including a coupon issuance ID, usage time, and number of users, for example, by reading a barcode, a QR code (registered trademark), or by manual input of a store clerk.

  The calculating part 17 is comprised including the coupon utilization track record acquisition part 13 and the store visit prediction information display control part 14. FIG.

  The coupon usage record acquisition unit 13 outputs the usage information shown in FIG. 5 received by the input unit 15 to the communication unit 16 and transmits the usage information to the store visit prediction server 200 by the communication unit 16.

  The store visit prediction information display control unit 14 causes the display unit 18 to display store visit prediction information received from the store visit prediction server 200 in the communication unit 16.

  The coupon issuance server 201 issues a coupon including a coupon issuance ID according to the issuance request information received from the image forming apparatus 10 or the portable terminal 11, and issues the coupon issued to the image forming apparatus 10 or the portable terminal 11. Send information. Moreover, the coupon issue server 201 transmits the issue information including the issue ID, the issue time, the issue position, and the coupon ID to the store visit prediction server 200 for the coupon issued according to the issue request information. FIG. 6 shows an example of issue information.

  The store visit prediction server 200 updates each of the reference information to be referred to when generating store visit prediction information based on the usage information received from the store terminal 12 and the issue information received from the coupon issue server 201. The store visit prediction server 200 generates store visit prediction information for each store based on at least one issue information received from the coupon issue server 201 and reference information, and transmits the store visit prediction information to the store terminal 12 of the store. .

<Configuration of Coupon Issuing Server According to First Embodiment>
Next, the coupon issue server 201 according to the first embodiment of the present invention will be described. FIG. 7 is a diagram illustrating an example of the configuration of the coupon issue server 201 according to the first embodiment of the present invention. As shown in FIG. 7, the coupon issuing server 201 according to the first embodiment includes a communication unit 202 and a calculation unit 204.

  The communication unit 202 receives the issue request information from each of the image forming apparatus 10 or the portable terminal 11 and transmits coupon information corresponding to the issue request to the image forming apparatus 10 or the portable terminal 11 that has transmitted the issue request information. . In addition, the communication unit 202 transmits issuance information generated for each issuance request to the store visit prediction server 200.

  The calculation unit 204 includes a coupon extraction unit 24, an issue information generation unit 25, and a coupon storage unit 26.

  The coupon extraction unit 24 generates an issuance ID in order to identify the issuance of the coupon in response to the issuance request received by the communication unit 202, and based on the coupon ID included in the issuance request received by the communication unit 202, the coupon The coupon information of the same coupon ID as the coupon ID included in the issue request is extracted from the storage unit 26, the generated issue ID is assigned to the extracted coupon information, and the issued issue ID is output to the communication unit 202 to make an issue request. The image is transmitted to the image forming apparatus 10 or the portable terminal 11 via the communication unit 202.

  The coupon storage unit 26 stores coupon information of the coupon ID for each coupon ID.

  The issuance information generation unit 25 generates the issuance information in addition to the issuance request information received by the communication unit 202 with the issuance ID of the coupon generated by the coupon extraction unit 24, and outputs the issuance information to the communication unit 202. The issue information is transmitted to the store visit prediction server 200.

<Configuration of store visit prediction server according to the first embodiment>
Next, the store visit prediction server 200 according to the first embodiment of the present invention will be described. FIG. 8 is a diagram illustrating an example of the configuration of the store visit prediction server 200 according to the first embodiment of the present invention. As illustrated in FIG. 8, the store visit prediction server 200 according to the first embodiment includes a communication unit 20 and a calculation unit 22.

  The communication unit 20 receives issue information from the coupon issue server 201. In addition, the communication unit 20 receives usage information from the store terminal 12. Further, the communication unit 20 transmits store visit prediction information to the store terminal 12.

  The calculation unit 22 includes a record receiving unit 23, a print record storage unit 28, a distance calculation unit 30, a store information storage unit 32, a prediction information calculation unit 36, a print information processing unit 38, a print reference information storage unit 34, and a portable record storage unit. 40, a portable information processing unit 42, and a portable reference information storage unit 44.

  The result receiving unit 23 receives the issue information received from the coupon issue server 201. Also, the usage information received from the store terminal 12 is accepted.

  The printing result storage unit 28 stores the issuance information regarding the coupon transmitted to the image forming apparatus 10 received by the result receiving unit 23 in the format shown in FIG. 9 to which columns of distance, use time, and number of users are added. ing. In addition, the print record storage unit 28 uses the record information received by the record receiving unit 23 to enter the use information related to the coupon transmitted to the image forming apparatus 10 as shown in FIG. Is stored in a format for storing the usage time and the number of users. Information obtained by combining issue information and usage information is used as performance information.

  The portable record storage unit 40 has the same configuration as the print record storage unit 28, and stores issuance information and usage information related to coupons transmitted to the portable terminal 11.

  Each time the issue information is stored in the print record storage unit 28 or the portable record storage unit 40, the distance calculation unit 30 determines the issue position and the location of the coupon using store based on the issue information. The distance between is calculated. Specifically, for the issue information stored in the print record storage unit 28 or the portable record storage unit 40, the store of the coupon is specified from the coupon ID of the issue information. Next, the position information of the store is extracted from the store information shown in FIG. 11 stored in the store information storage unit 32, and the issue position is based on the address of the extracted store information and the issue position of the issue information. And the distance between the store location of the coupon is calculated. In addition, the distance calculation unit 30 stores the distance calculated for each piece of issue information in the distance column of the issue information stored in the print record storage unit 28 or the portable record storage unit 40. FIG. 12 shows an example stored in the distance column.

  The print reference information storage unit 34 uses the coupon usage rate for each coupon issue time zone as shown in FIG. 13, the number of customers visiting the coupon for each coupon issue time zone as shown in FIG. 14, and FIG. The coupon usage rate for each distance, the number of customers at the time of coupon usage for each distance as shown in FIG. 16, the coupon usage rate for each coupon type as shown in FIG. 17, and for each coupon type as shown in FIG. The number of visitors when using the coupon and the average travel time for each distance as shown in FIG. 19 are stored. Each piece of stored information is used as print reference information. The print reference information storage unit 34 stores reference information related to the coupon transmitted to the image forming apparatus 10.

  The mobile reference information storage unit 44 has the same configuration as the print reference information storage unit 34, and stores reference information related to the coupon transmitted to the mobile terminal 11.

  The prediction information calculation unit 36 reads the issuance information stored before the predetermined period from the present time, and issuance information related to the unused coupons, from the printing result storage unit 28, as shown in FIG. In addition, for each read issue information, the distance between the issue position of the issue information and the location of the use store calculated in the same manner as the distance calculation unit 30, the issue information, and the print reference information storage unit 34 are stored. Based on each of the reference information, a predicted store visit time, a store visit probability, and a predicted number of store visitors are calculated. The prediction information calculation unit 36 calculates store visit prediction information for each time zone for each store based on the calculated prediction result, and stores the store visit prediction information of the store for each store via the communication unit 20. Send to.

  Specifically, the issuance information to be calculated is included in the issuance information based on the issuance time of the issuance information and the coupon usage rate for each issuance time zone of the coupon stored in the print reference information storage unit 34. The usage rate corresponding to the issue time is obtained. Further, the number of customers corresponding to the issue time included in the issue information is obtained based on the issue time of the issue information and the number of visitors to the issue time zone of the coupon stored in the print reference information storage unit 34. . Further, the distance calculated for the issue information based on the distance between the issue position of the issue information and the location of the use store and the coupon usage rate for each distance stored in the print reference information storage unit 34 Find the coupon usage rate corresponding to. Further, it corresponds to the distance calculated for the issuance information based on the distance between the issuance position of the issuance information and the location of the use store and the number of customers for each distance stored in the print reference information storage unit 34. Ask for the number of visitors. Also, based on the coupon type associated with the coupon ID of the issue information and the coupon usage rate for each coupon type stored in the print reference information storage unit 34, the coupon type of the coupon corresponding to the issue information Find the utilization rate for. Further, based on the coupon type associated with the coupon ID of the issue information and the number of coupon visits for each coupon type stored in the print reference information storage unit 34, the store visits the coupon type corresponding to the issue information. Ask for the number of people.

  Then, the average of the usage rate related to the time zone, the usage rate related to the distance, and the usage rate related to the coupon type is used as a prediction of the usage rate for the issued information, and the number of visitors related to the time zone, the number of visitors related to the distance, The average of the number of customers with respect to the type is used as the prediction of the number of visitors to the issue information. The above calculation and prediction of the utilization rate and the number of customers are repeated for each piece of issue information.

  Next, for each piece of issuance information, the issuance time of the issuance information, the distance between the issuance position of the issuance information and the location of the store used, and the average movement for each distance stored in the print reference information storage unit 34 Based on the time, the estimated arrival time of the user for the issue information is calculated. Specifically, the average travel time as shown in FIG. 19 is calculated based on the distance between the issue position of the issue information and the location of the use store, and the calculated average travel time is issued. By adding to the time, the estimated arrival time of the user for the issue information is calculated.

  Further, based on the unused issuance information stored in the mobile record storage unit 48 and the stored average travel time for each distance, the estimated arrival time of the user for the issuance information is calculated. Further, based on the reference information stored in the portable reference information storage unit 44, the usage rate and the number of customers visiting the store are predicted for each of the issued information, as in the above-described processing related to the coupon transmitted to the image forming apparatus 10. Do. Further, for each piece of unused issue information stored in the mobile record storage unit 48, the issue time of the issue information, the distance between the issue position of the issue information and the location of the use store, and the mobile reference information storage unit Based on the average travel time for each distance stored in 44, the estimated arrival time of the user for the issue information is calculated.

  Next, for each time period, calculate the average usage rate and the average number of customers for each issue information corresponding to the prediction target store that includes the estimated arrival time in the time period, and the prediction target Find store visit prediction information. As described above, store visit prediction information is repeatedly obtained for each store.

  The print information processing unit 38 acquires unprocessed result information stored in the print result storage unit 28 every time the usage information is stored in the print result storage unit 28 and is stored in the print result storage unit 28. Issuance information relating to unprocessed and unused coupons, and issuance information for which a predetermined time has elapsed from the issuance time is acquired as unused issuance information. Then, each of the reference information stored in the print reference information storage unit 34 is updated based on each of the acquired record information and unused issue information. Specifically, for the unprocessed record information, the record information issue time is based on the record information issue time and the coupon usage rate for each coupon issue time period stored in the print reference information storage unit 34. Increase the number of issues and the number of uses in the issue time zone to which the For each piece of unused issue information, based on the issue time of the unused issue information and the coupon usage rate for each coupon issue time zone stored in the print reference information storage unit 34, The number of issues in the issue time zone to which the issue time of issue information belongs is increased by one. Then, for each issuance time zone, the result of dividing the use count value by the issuance count value is used as the coupon usage rate in the issue time zone after the update. Further, based on the issue time and number of customers of the record information and the number of visitors for each issue time zone of the coupon stored in the print reference information storage unit 34, the issue time zone to which the issue time of the record information belongs is assigned. The value of the number of visitors of the performance information is added to the product of the number of times of use and the average number of visitors, and the value of the number of uses is increased by one. Then, the result of dividing the added value by the value of the number of times of use is set as the number of visitors to the store in the updated issue time zone.

  Further, the distance to which the distance of the record information belongs based on the distance between the issue position of the record information and the position of the use store and the coupon usage rate for each distance stored in the print reference information storage unit 34 Increase the number of issuance and use by one. Further, for each of the unused issue information, the number of times of issue of the distance to which the distance of the unused issue information belongs is increased by 1. Then, for each distance, the result obtained by dividing the value of the number of times of use by the value of the number of times of issue is used as the utilization rate of the coupon for the distance after the update. Moreover, the distance of the said performance information belongs based on the distance between the issuance position of the said performance information and the position of a use store, the number of visitors, and the number of visitors for every distance memorize | stored in the print reference information storage part 34. The value of the number of visitors of the performance information is added to the product of the number of times of use of the distance and the value of the average number of visitors, and the value of the number of uses is increased by one. Then, the result obtained by dividing the added value by the value of the number of times of use is set as the number of customers visiting the updated distance.

  Further, based on the coupon type of the record information and the coupon usage rate for each coupon type stored in the print reference information storage unit 34, the number of times and the number of uses of the coupon type to which the coupon type of the record information belongs are used. Increases by 1. Further, for each piece of the unused issue information, the number of coupon types issued to which the coupon type of the unused issue information belongs is increased by one. Then, for each coupon type, the result obtained by dividing the value of the number of times of use by the value of the number of times of issue is used as the coupon usage rate of the updated coupon type. Further, based on the coupon type and the number of customers of the actual information and the number of customers for each coupon type stored in the print reference information storage unit 34, the average number of use and average of the coupon type to which the coupon type of the actual information belongs. The value of the number of visitors to the store in the record information is added to the product of the value of the number of visitors to the store, and the value of the number of uses is increased by one. Then, the result of dividing the added value by the value of the number of uses is set as the updated number of customers of the coupon type.

  Further, based on the distance between the issue position of the record information and the position of the use store, the issue time, and the use time, and the average travel time for each distance stored in the print reference information storage unit 34 The time taken from the issuance time of the record information to the use time is added to the product of the use count value of the distance to which the information distance belongs and the average travel time value, thereby increasing the use count by one. Then, the result of dividing the added value by the number of uses is set as the average travel time of the distance after the update.

  The portable information processing unit 42 has the same configuration as the print information processing unit 38, and every time the usage information is stored in the portable record storage unit 40, unprocessed record information stored in the portable record storage unit 40 is displayed. The issuance information that is unprocessed and unused issuance information stored in the mobile record storage unit 40 and that has passed a predetermined time from the issuance time is obtained as unused issuance information. get. And each of the reference information memorize | stored in the portable reference information memory | storage part 44 is updated based on each of the acquired performance information and unused issue information.

<Store visit prediction processing according to the first embodiment>
Next, “shop visit prediction processing” executed by the store visit prediction server 200 according to the present embodiment of the present invention will be described. FIG. 21 is a flowchart showing an example of a processing routine of “store visit prediction processing”. First, whenever the store visit prediction server 200 receives the issue information transmitted from the coupon issue server 201 and the issue information is stored in the print record storage unit 28 or the portable record storage unit 40, the issue information Based on the above, the distance between the issue position and the position of the store where the coupon is used is calculated, and the calculated distance is stored in the printing result storage unit 28 or the portable result storage unit 40. To remember. Next, when the issue information stored before the predetermined period from the present time and the issue information related to the unused coupons is read from the print result storage unit 28 and the portable record storage unit 40, respectively, A control program of “prediction processing” is started in the store visit prediction server 200.

  First, in step S100, each of the reference information stored in the print reference information storage unit 34 and the portable reference information storage unit 44 is read.

  Next, in step S102, for the issue information to be processed, based on each of the reference information acquired in step S100, the distance between the issue position of the issue information and the location of the use store, and the issue information. , The predicted store visit time, the store visit probability, and the predicted number of store visitors are calculated.

  Next, in step S104, it is determined whether or not processing has been completed for all read issue information. If the process has been completed for all pieces of issue information, the process proceeds to step S106. If the process has not been completed for all pieces of issue information, the issue information to be processed is changed, and the process proceeds to step S102. To do.

  Next, in step S106, store visit prediction information for each time zone for each store is calculated based on each prediction result of the issuance information acquired in step S102.

  Next, in step S108, the store visit information for each time zone of the store acquired in step S106 is transmitted to the store terminal 12 of the store for each store, and the process is terminated.

<Reference information update processing according to the first embodiment>
Next, the “reference information update process” executed by the store visit prediction server 200 according to the present embodiment of the present invention will be described. FIG. 22 is a flowchart illustrating an example of a processing routine of “reference information update processing”. When the usage information transmitted from the store terminal 12 is received by the store visit prediction server 200, the received usage information is stored in the printing result storage unit 28 or the portable result storage unit 40 and “reference information”. The control program for “update process” is started in the store visit prediction server 200.

  First, in step S200, the record information corresponding to the received use information is read from the print record storage unit 28 or the portable record storage unit 40.

  Next, in step S202, each of unprocessed and unused issue information stored in the print record storage unit 28 and the portable record storage unit 40 is read.

  Next, in step S204, each of the reference information memorize | stored in the print reference information memory | storage part 34 and the portable reference information memory | storage part 44 is read.

  Next, in step S206, each of the reference information is updated based on the record information acquired in step S200, each of the unused issuance information acquired in step S202, and each of the reference information acquired in step S204. To do.

As described above, according to the information processing system according to the first embodiment, the store visit time and the store visit time of the user who acquired the issued coupon are predicted.

  Next, a second embodiment will be described. The second embodiment is different from the first embodiment in that a coupon is issued only for the image forming apparatus 10. In addition, about the structure and effect | action same as 1st Embodiment, the same code | symbol is attached | subjected and it abbreviate | omits.

<Information Processing System According to Second Embodiment>
First, an information processing system according to the second embodiment of the present invention will be described. FIG. 23 is a diagram illustrating an example of an overall configuration of an information processing system according to the second embodiment of the present invention. As shown in FIG. 23, the information processing system 101 according to the second embodiment includes an image forming apparatus 10, a store terminal 12, a store visit prediction server 200, and a coupon issue server 201. Are connected to each other via a communication means.

  The calculation unit 22 of the store visit prediction server 200 includes a result reception unit 23, a print result storage unit 28, a distance calculation unit 30, a store information storage unit 32, a prediction information calculation unit 36, a print information processing unit 38, and a print reference information storage unit. 34 is comprised.

As described above, according to the information processing system according to the second embodiment, the visit of the user who printed the coupon for each store is predicted from the issue information of the plurality of coupons.

  Next, a third embodiment will be described. In 3rd Embodiment, the point from which a coupon is issued only with respect to the portable terminal 11 differs from 1st Embodiment. In addition, about the structure and effect | action same as 1st Embodiment, the same code | symbol is attached | subjected and it abbreviate | omits.

<Information Processing System According to Third Embodiment>
First, an information processing system according to the third embodiment of the present invention will be described. FIG. 24 is a diagram illustrating an example of the overall configuration of an information processing system according to the third embodiment of the present invention. As shown in FIG. 24, the information processing system 102 according to the third embodiment is configured to include a mobile terminal 11, a store terminal 12, a store visit prediction server 200, and a coupon issue server 201. It is the structure mutually connected via the communication means.

  The calculation unit 22 of the store visit prediction server 200 includes a result reception unit 23, a distance calculation unit 30, a store information storage unit 32, a prediction information calculation unit 36, a portable record storage unit 40, a portable information processing unit 42, and a portable reference information storage unit. 44 is comprised.

As explained above, according to the information processing system concerning a 3rd embodiment, the visit of the user who issued the coupon concerned for every store is predicted from the issue information of a plurality of coupons.

  Note that the present invention is not limited to the above-described embodiment, and various modifications and applications are possible without departing from the gist of the present invention.

  In the present embodiment, the case where the server that performs store visit prediction and the server that issues coupons are configured as separate devices has been described. For example, you may comprise the server which performs store visit prediction, and the server which issues a coupon as the same apparatus.

  In the present embodiment, the case where the reference information is updated every time the usage information is received has been described, but this is not restrictive. For example, the reference information may be updated collectively for usage information for a certain period.

  In the present embodiment, the case where the reference information is updated online has been described, but the present invention is not limited to this. For example, the reference information may be managed and updated offline.

  Moreover, although the case where the coupon is issued to the image forming apparatus or the portable terminal has been described as an example, the present invention is not limited to this, and an advertisement may be issued to the image forming apparatus or the portable terminal. .

  Further, in the present specification, the embodiment has been described in which the program is installed in advance. However, the program can be provided by being stored in a computer-readable recording medium or provided via a network. It is also possible to do.

DESCRIPTION OF SYMBOLS 10 Image forming apparatus 11 Portable terminal 12 Store terminal 13 Coupon use results acquisition part 14 Store visit prediction information display control part 15 Input part 16 Communication part 17 Calculation part 18 Display part 20 Communication part 22 Calculation part 23 Result reception part 24 Coupon extraction part 25 Issued information generation unit 26 Coupon storage unit 28 Print record storage unit 30 Distance calculation unit 32 Store information storage unit 34 Print reference information storage unit 36 Predictive information calculation unit 38 Print information processing unit 40 Mobile record storage unit 42 Mobile information processing unit 44 Mobile Reference information storage unit 100 Information processing system 101 Information processing system 102 Information processing system 200 Store visit prediction server 201 Coupon issue server 202 Communication unit 204 Calculation unit

Claims (8)

From the device that issued the advertisements for shops, and the advertising ID, time of emitting lines, and a first acquisition unit that acquires information including a position where the user has acquired the advertisement,
Second acquisition means for acquiring information including the ID of the advertisement presented by the store visit user and the store visit time from the store terminal;
Wherein the advertisement usage record of the first and second acquisition means is calculated from the acquired information, on the basis of the position information of the store, for users who do not visit has acquired advertising relating to the store and visit probability visit time A means of predicting
An information processing apparatus including: The information processing apparatus according to claim 1, wherein the second acquisition unit further acquires information on the number of store visitor users, and the predicting unit further predicts the store visitor number for each time period when the advertisement is issued. 3. The information processing according to claim 1, wherein the first acquisition unit further acquires type information indicating the type of the advertisement , and the prediction unit further predicts the number of customers based on the type of the advertisement. apparatus.   The information processing apparatus according to any one of claims 1 to 3, further comprising prediction result transmission means for transmitting information including the predicted store visit probability and store visit time to the store terminal. Storage means for storing information acquired by the first and second acquisition means;
The usage record storage means for storing the advertisement usage record for the user who acquired the advertisement , calculated based on the information stored in the storage means, and the first and second acquisition means newly acquire information. 5. The information processing apparatus according to claim 1, further comprising: an update unit that newly calculates a use record of the advertisement and updates the use record stored in the use record storage unit. . The means for predicting is calculated based on the information acquired by the first and second acquisition means, and the distance from the position where the user acquired the advertisement to the position of the store until the user visits the store. 6. The information processing apparatus according to claim 1, wherein the store visit time is predicted based on a travel time. An information processing apparatus according to any one of claims 1 to 6,
An advertisement issuing device that issues an advertisement and generates information including the ID of the advertisement, the time of issue , and the position where the user acquired the advertisement for the issued advertisement, and transmits the information to the information processing device;
When the user who acquired the advertisement visits the store, the store-side terminal that generates information including the ID of the advertisement presented by the visitor user and the store visit time for the advertisement and transmits the information to the information processing device;
Information processing system including Computer
First acquisition means for acquiring information including the ID of the advertisement, the time of issuance, and the position where the user has acquired the advertisement from a device that has issued the advertisement relating to the store;
Second acquisition means for acquiring information including the ID of the advertisement presented by the store visit user and the store visit time from the store terminal;
The store visit probability and visit time for a user who has not acquired the advertisement related to the store based on the advertisement use result calculated from the information acquired by the first and second acquisition means and the location information of the store. A means of predicting
Program to function as.